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big_vision reviews and mentions
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I accidentally built a meme search engine
I think this is based off Google research https://github.com/google-research/big_vision
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Show HN: I made a Pinterest clone using SigLIP image embeddings
The the vision training models are available here: https://github.com/google-research/big_vision/tree/main which I am assuming, based on the research paper is what was used for the project.
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[D] What are the strongest plain baselines for Vision Transformers on ImageNet?
Found relevant code at https://github.com/google-research/big_vision + all code implementations here
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[P] Simple ViT Implementation in Flax
Official Github repository: https://github.com/google-research/big_vision
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Open-Source Simple-ViT Implementation
An open-source implementation of the Better plain ViT baselines for ImageNet-1k research paper in Google's JAX and Flax.
An update from some of the same authors of the original paper proposes simplifications to ViT that allows it to train faster and better.
Among these simplifications include 2d sinusoidal positional embedding, global average pooling (no CLS token), no dropout, batch sizes of 1024 rather than 4096, and use of RandAugment and MixUp augmentations. They also show that a simple linear at the end is not significantly worse than the original MLP head.
Simple ViT Research Paper: https://arxiv.org/abs/2205.01580
Official Github repository: https://github.com/google-research/big_vision
Developer updates can be found on: https://twitter.com/EnricoShippole
In collaboration with Dr. Phil 'Lucid' Wang: https://github.com/lucidrains
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A note from our sponsor - InfluxDB
www.influxdata.com | 30 Apr 2024
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google-research/big_vision is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of big_vision is Jupyter Notebook.
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